Solution Architect
Join Genese Solution as a Solution Architect and help design an AI native data platform that powers next gen analytics for the financial sector. Collaborate with global teams, innovate with cloud and AI technologies, and shape enterprise grade architectures that drive real impact. Ready to build the future of data intelligence?
We are looking to onboard a Solution Architect to own the end to end architecture for a data platform-a self serve, AI native BI layer on top of a financial services data lake/mesh (gold/silver/bronze). You'll unify discovery, composition, and contribution; enable NLQ + chat driven analytics; and enforce enterprise grade governance, security, and observability across payments, cards, lending, and partner ecosystems.
Roles and ResponsibilitiesDefine target & interim architecture: reference diagrams, data contracts, semantic/NLQ models, API/event schemas, and write back patterns.
Conversational BI: design NLQ orchestration, semantic layer, query planner, auto viz/forecasting, and "board mode"; integrate with the organization's internal GPT platform.
Contribution layer: architect governed upload/stream/write back with schema & quality gates, stewardship workflows, and automatic metadata capture into the dictionary.
Data platform: lakehouse (medallion) and curated marts; federation; cost/perf optimization; caching; workload isolation.
Governance & observability: lineage, audit trail, prompt/response logging, evaluations and drift monitors for AI generated content; SLIs/SLOs & runbooks.
Security & compliance: IAM (RBAC/ABAC), fine grained policies, masking/tokenization, KMS/HSM, data residency; control mapping for GLBA, SOX, PCI, NYDFS 500, SOC 2/ISO 27001.
Delivery leadership: partner with Platform Eng, Data Stewards, Risk/Legal, and domain teams; drive design reviews, RFCs, and cutovers.
Skills and Qualifications- 8-12+ years of experience architecting and delivering data & analytics platforms in enterprise environments.
- 3+ years of experience with AI/ML and AI enabled analytics (LLMs, RAG, agents).
- Strong hands on coding skills with Spark (PySpark/Scala), SQL, dbt, and modern data platforms (Databricks, Snowflake, BigQuery).
- Experience with cloud platforms (AWS preferred).
- Proven expertise in BI and semantic modeling using tools such as Power BI, Tableau, Looker, or Mode.
- Strong understanding of data governance, security (IAM, policy as code, encryption), and compliance in regulated industries.
- Work in a multinational company operating in the Cloud & ICT domain, based out of the UK and operating in Australia, India, Nepal, Pakistan, and Bangladesh.
- Best in class open, progressive, professional, and equal opportunity work environment.
- Closely knit and supportive team members and a culture where your contributions, opinions, and diversity is welcome, respected, & encouraged.
- Exposure to multi disciplinary skill areas (including team management & leadership) in a vibrant start up ecosystem with deep work involving world class leaders like Amazon, Microsoft, Google, Alibaba, DigitalOcean, and Facebook.
- Opportunity to travel regionally (as part of assignment/ training and development or delivery) in Nepal, India, Pakistan, Bangladesh, or Sri Lanka.
- Contribution/write back from BI; event driven microservices; Kubernetes, Terraform, CI/CD.
Our Commitments
We believe that diversity drives innovation. At Genese Solution, we are dedicated to creating a work environment where everyone, regardless of race, gender identity, age, religion, disability, or background, feels respected and included.
Interested candidates meeting the above criteria are requested to send their CV and cover letter to clearly mentioning the position you are applying for in the subject.
NOTE: Only shortlisted candidates will be contacted for further selection process.
- Company
- Genese Solution Limited
- Location
- United Kingdom
- Employment Type
- Permanent
- Salary
- GBP Annual
- Posted
- Company
- Genese Solution Limited
- Location
- United Kingdom
- Employment Type
- Permanent
- Salary
- GBP Annual
- Posted